IDEAS home Printed from https://ideas.repec.org/a/bla/sysdyn/v38y2022i3p264-291.html
   My bibliography  Save this article

Documenting the modeling process with a standardized data structure described and implemented in DynamicVu

Author

Listed:
  • Warren W. Farr
  • Samuel D. Allen
  • Andrada Tomoaia‐Cotisel
  • Peter S. Hovmand

Abstract

Documenting the process of building a simulation model is different from documenting the simulation model itself. Good model‐building practice includes the discovery of potentially large sets of multimedia data. Organizing and documenting data and the process of collecting it has several advantages including: tightly linking data to its source and the timing of its discovery; separating source data from researcher inference (allowing for independent inspection); maintaining an evolutionary timeline; and easily sharing source data among participants and researchers. The topic of documenting models has been widely discussed. In contrast, this article proposes a data structure and its methods for documenting the process of building a simulation model. © 2022 System Dynamics Society.

Suggested Citation

  • Warren W. Farr & Samuel D. Allen & Andrada Tomoaia‐Cotisel & Peter S. Hovmand, 2022. "Documenting the modeling process with a standardized data structure described and implemented in DynamicVu," System Dynamics Review, System Dynamics Society, vol. 38(3), pages 264-291, July.
    • Handle: RePEc:bla:sysdyn:v:38:y:2022:i:3:p:264-291
    DOI: 10.1002/sdr.1716
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/sdr.1716
    Download Restriction: no
    File URL: https://libkey.io/10.1002/sdr.1716?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. John Sterman, 2018. "System dynamics at sixty: the path forward," System Dynamics Review, System Dynamics Society, vol. 34(1-2), pages 5-47, January.
    2. Yearworth, Mike & White, Leroy, 2013. "The uses of qualitative data in multimethodology: Developing causal loop diagrams during the coding process," European Journal of Operational Research, Elsevier, vol. 231(1), pages 151-161.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Andrada Tomoaia‐Cotisel & Samuel D. Allen & Hyunjung Kim & David F. Andersen & Nabeel Qureshi & Zaid Chalabi, 2024. "Are we there yet? Saturation analysis as a foundation for confidence in system dynamics modeling, applied to a conceptualization process using qualitative data," System Dynamics Review, System Dynamics Society, vol. 40(4), October.
    2. Benjamin L. Turner & Michael Goodman, 2024. "Capturing the science behind the craft: a reporting framework to improve quality and confidence in nonsimulated models," System Dynamics Review, System Dynamics Society, vol. 40(4), October.
    3. Guido A. Veldhuis & Eefje M. Smits‐Clijsen & Rob P.M. van Waas, 2024. "Techniques to enhance the public policy impact of qualitative system dynamics models," System Dynamics Review, System Dynamics Society, vol. 40(4), October.
    4. Daniel Gordon & Ali N. Mashayekhi & Andrada Tomoaia‐Cotisel & Hyunjung Kim & Babak Bahaddin & Luis F. Luna‐Reyes & David F. Andersen, 2024. "Developing model‐based storytelling to share systemic insights to the public during the COVID‐19 pandemic," System Dynamics Review, System Dynamics Society, vol. 40(3), July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guido A. Veldhuis & Dominique Blok & Maaike H.T. de Boer & Gino J. Kalkman & Roos M. Bakker & Rob P.M. van Waas, 2024. "From text to model: Leveraging natural language processing for system dynamics model development," System Dynamics Review, System Dynamics Society, vol. 40(3), July.
    2. Chen, Junjie & Liu, Pei & Lin, Borong & Zhou, Hao & Papachristos, George, 2025. "The diffusion of prefabrication technology and its potential for CO2 emissions reduction in China: A combined system dynamics and agent-based study," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
    3. Gürsan, C. & de Gooyert, V., 2021. "The systemic impact of a transition fuel: Does natural gas help or hinder the energy transition?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    4. Crabolu, Gloria & Font, Xavier & Eker, Sibel, 2023. "Evaluating policy complexity with Causal Loop Diagrams," Annals of Tourism Research, Elsevier, vol. 100(C).
    5. Claire F. Brereton & Paul Jagals, 2021. "Applications of Systems Science to Understand and Manage Multiple Influences within Children’s Environmental Health in Least Developed Countries: A Causal Loop Diagram Approach," IJERPH, MDPI, vol. 18(6), pages 1-23, March.
    6. Bernd Wurth & Niall G. MacKenzie & Susan Howick, 2024. "Not seeing the forest for the trees? A systems approach to the entrepreneurial university," Small Business Economics, Springer, vol. 63(2), pages 1-24, August.
    7. Igor Krejčí & Pavel Moulis & Jana Pitrová & Ivana Tichá & Ladislav Pilař & Jan Rydval, 2019. "Traps and Opportunities of Czech Small-Scale Beef Cattle Farming," Sustainability, MDPI, vol. 11(15), pages 1-26, August.
    8. Benjamin L. Turner & Melissa Wuellner & Erin Cortus & Steven Boot Chumbley, 2022. "A multi‐university cohort model for teaching complex and interdisciplinary problem‐solving using system dynamics," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(2), pages 185-199, March.
    9. Wang, Fengquan & Jiang, Jihai & Cosenz, Federico, 2025. "Understanding data-driven business model innovation in complexity: A system dynamics approach," Journal of Business Research, Elsevier, vol. 186(C).
    10. Milad Mousavian, H. & Hamed Shakouri, G. & Mashayekhi, Ali-Naghi & Kazemi, Aliyeh, 2020. "Does the short-term boost of renewable energies guarantee their stable long-term growth? Assessment of the dynamics of feed-in tariff policy," Renewable Energy, Elsevier, vol. 159(C), pages 1252-1268.
    11. Negar Darabi & Niyousha Hosseinichimeh, 2020. "System dynamics modeling in health and medicine: a systematic literature review," System Dynamics Review, System Dynamics Society, vol. 36(1), pages 29-73, January.
    12. Navid Ghaffarzadegan & Ran Xu, 2018. "Late retirement, early careers, and the aging of U.S. science and engineering professors," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-16, December.
    13. Dhirasasna, NiNa & Sahin, Oz, 2021. "A system dynamics model for renewable energy technology adoption of the hotel sector," Renewable Energy, Elsevier, vol. 163(C), pages 1994-2007.
    14. Kirsten Davis & Navid Ghaffarzadegan & Jacob Grohs & Dustin Grote & Niyousha Hosseinichimeh & David Knight & Hesam Mahmoudi & Konstantinos Triantis, 2020. "The Lake Urmia vignette: a tool to assess understanding of complexity in socio‐environmental systems," System Dynamics Review, System Dynamics Society, vol. 36(2), pages 191-222, April.
    15. Gauss, Leandro & Lacerda, Daniel P. & Cauchick Miguel, Paulo A., 2022. "Market-Driven Modularity: Design method developed under a Design Science paradigm," International Journal of Production Economics, Elsevier, vol. 246(C).
    16. Arielle R. Deutsch & Leah Frerichs & Madeleine Perry & Mohammad S. Jalali, 2024. "Participatory modeling for high complexity, multi‐system issues: challenges and recommendations for balancing qualitative understanding and quantitative questions," System Dynamics Review, System Dynamics Society, vol. 40(4), October.
    17. Jim Duggan, 2020. "Exploring the opportunity of using machine learning to support the system dynamics method: Comment on the paper by Edali and Yücel," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(6), pages 959-963, November.
    18. Duggan, Jim & Andrade, Jair & Murphy, Thomas Brendan & Gleeson, James P. & Walsh, Cathal & Nolan, Philip, 2024. "An age-cohort simulation model for generating COVID-19 scenarios: A study from Ireland's pandemic response," European Journal of Operational Research, Elsevier, vol. 313(1), pages 343-358.
    19. Yearworth, Mike & White, Leroy, 2014. "The non-codified use of problem structuring methods and the need for a generic constitutive definition," European Journal of Operational Research, Elsevier, vol. 237(3), pages 932-945.
    20. Lo Shih-Hui & Lian Shih-Ming & Chang Reed-Joe, 2024. "The Growth Dynamics of the Restaurant Industry from Single Store to Chain Store in Taiwan: A Systems Thinking Perspective," Systemic Practice and Action Research, Springer, vol. 37(6), pages 1141-1159, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:sysdyn:v:38:y:2022:i:3:p:264-291. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1111/0883-7066 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.